Senior Data & Reporting Analyst

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role can be based in San Francisco, Mountain View, Carpinteria, Chicago, Detroit, New York, Omaha, Toronto, or Washington DC.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role.

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

We are looking for a Senior Data & Reporting Analyst to join our Strategic Sourcing team. In this position, you will be responsible for building scalable reports and dashboards, while ensuring data quality, integrity, and accuracy. You will work cross-functionally with engineering, finance, and stakeholder teams to lead various initiatives to advance our data and reporting solutions. You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions.

Responsibilities:

• Analyze datasets to discover meaningful patterns, trends, and relationships to improve operational and productivity across our organization.
• Influence the roadmap for Data Analytics, Engineering, and the stakeholders we support to advance our data and analytics solutions.
• Build, develop, and maintain data models, automated reports, and dashboards using BI/Dashboarding tools such as PowerBI, ServiceNow, Tableau, and Salesforce.
• Refine, enhance, and automate processes and reports by managing tables/views and data pipelines.
• Contribute to and grow the culture of excellence on our team by bringing processes and best practices to our group.
• Meet with stakeholders from business and engineering to understand OKR requirements and convert them into analytical solutions.
• Own reporting and data improvement projects by crafting project plans, tracking progress, and communicating project updates to stakeholders and senior leadership.
• Identify and solve process or technology gaps that contribute to poor data quality or long lead times to update our systems.

Qualifications

Basic Qualifications:

• 3+ years of experience working with analytical tools and languages such as SQL,PowerBI/Tableau, Suplari, and Coupa Analytics.
• Experience with CRM, CLM, ERP, and/or Oracle systems
• Experience with ELT data modeling and building analytical narratives using data visualizations.
• 3+ years of experience in Source-to-Pay systems, Data Analyst, BI Engineer, Product Analyst, or similar role

Preferred Qualifications:

• Ability to work in a fast-paced, startup environment
• Excellent communication, analytical and problem-solving skills
• Interest in optimizing operational productivity
• Proficient at managing multiple simultaneous, high impact workstreams
• Ability to communicate with senior management

Suggested Skills:

• Project Management
• Data Analysis
• Business Intelligence

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $80,000 to $130,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits

Additional Information

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf. Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview
• Documents in alternate formats or read aloud to you

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.